scholarly journals Maximum Accuracy in MANET-Node-Localization Using Multi-Stage Trackerwith Less Time-Complexity

2018 ◽  
Vol 7 (3.34) ◽  
pp. 110
Author(s):  
Arul Selvan.M ◽  
Dr SelvaKumar.S
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Low Cost ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Node Localization ◽  
Multiple Test ◽  
Maximum Accuracy

An ad hoc network (referred as MANET), is also called as mobile ad-hoc network and also wireless ad hoc network, is automatic self-configuring, infrastructure-less wireless network of mobile devices, and it  widely used in various areas. Wireless sensor network composed of wireless sensor nodes and these nodes can do processing, sensing, computation and wireless communication. Because of its more functionality and low cost of energy consumption the wireless sensors are used widely in various areas such as ranging from sensors for environment, road safety,  home, peer-to-peer messaging, vehicular ad hoc communications, health, disaster recovery operations, robots, weapons, defense, etc. The localization information is very important for the operation of MANET because of security, routing, and other needs. This articles mainly contracts with the network node station identification in wireless environment with maximum accuracy. There are many methods of localization exist for MANET, and this paper discusses, compares and explains the betterments through experimental localization methods. Localization process is a vital and essential part in lots of applications that signifies a supplementary procedure in a network function or sometime it can be a primary goal of the application. Localization, as an essential procedure is also desirable based on data mining and data fusion, efficient routing with the view of hierarchical data aggregation. The hierarchical aggregation method itself signifies beneficial function of all data networks as it decreases important energy consumption and saves bandwidth in ad hoc network. And also it makes sure of repeatability-of-tests through multiple test-environments which is a problematic task in many situations in wireless networks. Eventually the accuracy of the location identification is critical aspect of any algorithm and technique that will be the important aspect of this paper.  

Prevention of Gray Hole Attack Using ABC and Fuzzy Logic

2017 ◽  
Vol 7 (8) ◽  
pp. 1 ◽  
Author(s):  
Lokeshwar Singh ◽  
Ashish Sharma
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Wireless Sensor ◽  
Mobile Ad Hoc

There are many advantages and reasons for wireless sensor network to be popular. The key concern while establishing wireless sensor network (Mobile ad-hoc network) is the routing protocol to be applied. Routing process is the process of discovering the path that a data packet will follow to get it from the source node to the destination node. As the mobile ad-hoc network consists of mobile nodes with no controlling unit in which each and every step of communication is handled by the nodes within the network itself. The selection of routing protocol is one of the difficult tasks and the key challenge faced by the routing is the energy consumption issue apart from the others. In this research, the routing technique is developed with a basic focus on reduction of the energy consumption while improving the overall performance of the network.  Presently, various efficient routing protocols have been estimated for wireless sensor network. In the presence of malicious nodes, the network becomes penetrable to different kind of attacks. In wireless sensor network, routing-attacks are relatively serious. It has number of potential-applications in completely un-predictable in dynamic environment. Routing protocol utilized here are in a form of reactive-routing protocol known as OLSR. This routing protocol route is based on demand.The proposed work has designed and implemented wireless sensor network in OLSR routing protocol. The gray hole attack is mitigated using Fuzzy Logic based on rule sets to have better routing process and ABC (Artificial Bee Colony) algorithm at superior rate for optimizing the route set at novel objective function.  In this work, the performance analysis of the network with the scenarios consisting 50 nodes moving with the speed of the 5-10m/s within the  area (1000X1000) m2 has been done in regards to the parameters, namely, Throughput, End-to-End Delay, BER (bit error rate) and Energy consumption).  

scholarly journals Mathematical formulation of energy efficient routing with constraint in mobile ad hoc network

2018 ◽  
Vol 7 (2) ◽  
pp. 674
Author(s):  
Rakesh Sahu ◽  
Narendra Chaudhari
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mathematical Formulation ◽  
Energy Efficient Routing ◽  
Optimization Function ◽  
Mobile Ad Hoc ◽  
The Mathematical Model

Energy consumption of nodes during the transmission is an important factor for the efficiency and lifetime of a mobile ad hoc network. The reduction in consumption of energy can be achieved, only when its consumption at each step is known. The purpose of this paper is to formulate the mathematical model of energy consumption of network on the basis on links and available nodes in order to formulate the energy optimization function. The probability of link failure in route and innetwork have been taken into consideration as constraints while formulating the objective function of estimated energy consumption, as the low connectivity is one of the challenges due to mobility in ad hoc network.

scholarly journals Improving Performance of Mobile Ad Hoc Network Using Clustering Schemes

2017 ◽  
Vol 6 (2) ◽  
pp. 69
Author(s):  
Mohamed Er-Rouidi ◽  
Houda Moudni ◽  
Hassan Faouzi ◽  
Hicham Mouncif ◽  
Abdelkrim Merbouha
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Low Cost ◽  
Dominating Set ◽  
Virtual Group ◽  
Clustering Approach ◽  
Mobile Ad Hoc ◽  
Energy Efficient Clustering ◽  
Total Network

Mobile ad hoc network become nowadays more and more used in different domains, due to its flexibility and low cost of deployment. However, this kind of network still suffering from several problems as the lack of resources. Many solutions are proposed to face these problems, among these solutions there is the clustering approach. This approach tries to partition the network into a virtual group. It is considered as a primordial solution that aims to enhance the performance of the total network, and makes it possible to guarantee basic levels of system performance. In this paper, we study some schemes of clustering such as Dominating-Set-based clustering, Energy-efficient clustering, Low-maintenance clustering, Load-balancing clustering, and Combined-metrics based clustering.

A STATIC-LEACH WSNs for Hazardous Materials Monitoring

2012 ◽  
Vol 463-464 ◽  
pp. 261-265
Author(s):  
Fei Hui ◽  
Xiao Le Wang ◽  
Xin Shi
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Low Cost ◽  
Hazardous Materials ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hazardous Materials Transportation ◽  
Adaptive Clustering

In this paper, hazardous materials transportation monitoring system is designed, implemented, and tested using Wireless Sensor Networks (WSNs). According to energy consumption and response time during clustering of Wireless Sensor Networks LEACH (Low Energy Adaptive Clustering Hierarchy) routing protocol, we proposed STATIC-LEACH routing protocol based on static clustering, it can effectively reduce energy consumption of the wireless sensor nodes and reduce network latency of cluster. With WSN and GSM/GPRS, low cost and easy deployment remote monitoring is possible without interfering with the operation of the transportation.

Localization in Wireless Sensor Networks Using Soft Computing Approach

2017 ◽  
Vol 11 (3) ◽  
pp. 42-53 ◽  
Author(s):  
Sunil Kumar Singh ◽  
Prabhat Kumar ◽  
Jyoti Prakash Singh
Keyword(s):  
Ad Hoc ◽  
Low Cost ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Localization Scheme ◽  
Anchor Nodes ◽  
Received Signal Strength Indication ◽  
Logic System

Wireless sensor network (WSN) is formed by a large number of low-cost sensors. In order to exchange information, sensor nodes communicate in an ad hoc manner. The acquired information is useful only when the location of sensors is known. To use GPS-aided devices in each sensor makes sensors more costly and energy hungry. Hence, finding the location of nodes in WSNs becomes a major issue. In this paper, the authors propose a combination of range based and range-free localization scheme. In their scheme, for finding the distance, they use received signal strength indication (RSSI), which is a range based center of gravity technique. For finding the location of non-anchor nodes, the authors assign weights to anchor and non-anchor nodes based on received signal strength. The weight, which is assigned to anchor and non-anchor nodes, are designed by fuzzy logic system (FLS).

scholarly journals Interpretation on Energy Consumption of DYMO Protocol Towards Green Environment

2020 ◽  
Vol 9 (4) ◽  
pp. 2895-2897
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobile Nodes ◽  
Grid Environment ◽  
Data Packets ◽  
Dynamic Movement ◽  
Mobile Ad Hoc ◽  
Expensive Process

Mobile Ad hoc Network is a decentralized network which can be deployed instantly. Routing is a very challenging task in this network due to dynamic movement of mobile nodes. Various routing protocols such as OLSR, DYMO and ZRP are proposed to establish the route for the data packets in MANET’s. As deploying of the protocols into real environment is a cost expensive process, the protocols are initially evaluated through a simulated arena. Many of the mobile devices are battery equipped and each protocol consumes energy in different manner. In this paper, energy consumption evaluation is carried out on OLSR, DYMO and ZRP protocols in a grid environment. The experiments have shown that DYMO protocol has less energy consumption when compared to OLSR and ZRP protocols.

scholarly journals Mobile Ad Hoc Network Energy Cost Algorithm Based on Artificial Bee Colony

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Mustafa Tareq ◽  
Raed Alsaqour ◽  
Maha Abdelhaq ◽  
Mueen Uddin
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Artificial Bee Colony ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Delivery Ratio ◽  
Packet Size ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Mobile Ad Hoc

A mobile ad hoc network (MANET) is a collection of mobile nodes that dynamically form a temporary network without using any existing network infrastructure. MANET selects a path with minimal number of intermediate nodes to reach the destination node. As the distance between each node increases, the quantity of transmission power increases. The power level of nodes affects the simplicity with which a route is constituted between a couple of nodes. This study utilizes the swarm intelligence technique through the artificial bee colony (ABC) algorithm to optimize the energy consumption in a dynamic source routing (DSR) protocol in MANET. The proposed algorithm is called bee DSR (BEEDSR). The ABC algorithm is used to identify the optimal path from the source to the destination to overcome energy problems. The performance of the BEEDSR algorithm is compared with DSR and bee-inspired protocols (BeeIP). The comparison was conducted based on average energy consumption, average throughput, average end-to-end delay, routing overhead, and packet delivery ratio performance metrics, varying the node speed and packet size. The BEEDSR algorithm is superior in performance than other protocols in terms of energy conservation and delay degradation relating to node speed and packet size.

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